Abstract: After months of field research and literature review, this paper examines Artificial Intelligence’s role as both disruptor and enabler in the sustainability space, particularly focusing on its often-overlooked relationship with Corporate Social Responsibility (CSR). Drawing on fifteen interviews with industry practitioners and the analysis of multiple case studies, I’ve uncovered several distinct mechanisms through which AI technologies transform traditional CSR approaches while tackling pressing sustainability challenges. My findings suggest that AI-driven methods open up new possibilities for smarter resource deployment, enhanced decision frameworks, and creative problem-solving across environmental protection, social equity, and responsible governance. Yet this technological promise comes with significant caveats – from the concerning energy footprint of large AI models to thorny ethical dilemmas and the risk of creating new digital divides. This research offers a pragmatic, integrated framework that organizations might adopt when aligning their AI initiatives with sustainability goals and CSR commitments. I argue that AI, when thoughtfully embedded within existing CSR structures and guided by clear sustainability principles, can indeed accelerate our progress toward building more sustainable and just societies – though not without careful navigation of its potential downsides.

Keywords: Artificial Intelligence, Corporate Social Responsibility, Sustainable Development Goals, ESG, AI Ethics, Digital Transformation, Stakeholder Engagement.